Delay Estimation for Time Synchronization of a Bistatic Transfer Function Measurement Setup to Single Received Pulses

Köhler, Michael; Saam, Alexander; Worms, Josef; O’Hagan, Daniel; Novacek, Jan; Bringmann, Oliver

doi:10.23919/spa.2019.8936787

Cited by 3 publications

(1 citation statement)

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“…A linear frequency modulated pulse waveform was used as transmit signal which is received directly by the reference channel directed to the side lobe of the transmit antenna during each measurement. Since the waveform is known, the beginning and the end of an incoming pulse are determined by a matched filter and synchronization step [34]. The corresponding samples of the incoming pulse are also extracted in the surveillance channel.…”

Section: The Coherent Signal Processing Approachmentioning

confidence: 99%

Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments

Köhler

O’Hagan

Weiß

et al. 2020

Sensors

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This article presents the statistical analysis of bistatic radar rural ground clutter for different terrain types under low grazing angles. Compared to most state-of-the-art analysis, we present country-specific clutter analysis for subgroups of rural environments rather than for the rural environment as a whole. Therefore, the rural environment analysis is divided into four dominant subgroup terrain types, namely fields with low vegetation, fields with high vegetation, plantations of small trees and forest environments representing a typical rural German environment. We will present the results for both the summer and the winter vegetation. Therefore, bistatic measurement campaigns have been carried out during the summer 2019 and the winter of 2019/20 in the aforementioned four different rural terrain types. The measurements were performed in the radar relevant X-band at a center frequency of 8.85 GHz and over a bandwidth of 100 MHz according to available transmit permission. The distinction of the rural terrain into different subgroups enables a more precise and accurate clutter analysis and modeling of the statistical properties as will be shown in the presented results. The statistical properties are derived from the calculated clutter amplitudes probability density functions and corresponding cumulative distribution functions for each of the four terrain types and the corresponding season. The data basis for the clutter analysis are the processed range-Doppler maps from the bistatic radar measurements. According to the authors’ current knowledge, a similar investigation based on real bistatic radar measurement data with the division into terrain subgroups has not yet been carried out and published for a German rural environment.

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Section: The Coherent Signal Processing Approachmentioning

confidence: 99%